PT  - JOURNAL ARTICLE
AU  - George D. Deitz
AU  - Marla B. Royne
AU  - Michael C. Peasley
AU  - Jianping “Coco” Huang
AU  - Joshua T. Coleman
TI  - EEG-Based Measures versus Panel Ratings
AID  - 10.2501/JAR-2016-030
DP  - 2016 Jun 01
TA  - Journal of Advertising Research
PG  - 217--227
VI  - 56
IP  - 2
4099  - http://www.journalofadvertisingresearch.com/content/56/2/217.short
4100  - http://www.journalofadvertisingresearch.com/content/56/2/217.full
SO  - J Advert Res2016 Jun 01; 56
AB  - Existing research suggests that when assessing consumer responses to advertising, neuroscience and physiological measurements offer more objectivity than traditional self-report measures and, hence, may be more predictive of audience response. The current authors' research explored consumer behavioral responses to Super Bowl ads on YouTube by comparing the predictive value of the self-report USA Today Ad Meter ratings with electroencephalogram (EEG)-based neuroengagement scores. This study assessed differences in subsequent online ad views, social engagement, and overall ad sentiment. The authors argue that implicit measures may be particularly useful in examining online social engagement and information transmission of paid brand content.